{"id":"https://openalex.org/W4290996358","doi":"https://doi.org/10.1109/icc45855.2022.9838640","title":"Proactive C-ITS Decentralized Congestion Control Using LSTM","display_name":"Proactive C-ITS Decentralized Congestion Control Using LSTM","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4290996358","doi":"https://doi.org/10.1109/icc45855.2022.9838640"},"language":"en","primary_location":{"id":"doi:10.1109/icc45855.2022.9838640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838640","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055378628","display_name":"Abdennour Rachedi","orcid":null},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abdennour Rachedi","raw_affiliation_strings":["Univ. Bordeaux,Cnrs, Bordeaux INP, LaBRI, UMR 5800,France,F-33400"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Bordeaux,Cnrs, Bordeaux INP, LaBRI, UMR 5800,France,F-33400","institution_ids":["https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210160189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042911191","display_name":"Toufik Ahmed","orcid":"https://orcid.org/0000-0002-9245-0759"},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Toufik Ahmed","raw_affiliation_strings":["Univ. Bordeaux,Cnrs, Bordeaux INP, LaBRI, UMR 5800,France,F-33400"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Bordeaux,Cnrs, Bordeaux INP, LaBRI, UMR 5800,France,F-33400","institution_ids":["https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210160189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067540221","display_name":"Mohamed Mosbah","orcid":"https://orcid.org/0000-0001-6031-4237"},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed Mosbah","raw_affiliation_strings":["Univ. Bordeaux,Cnrs, Bordeaux INP, LaBRI, UMR 5800,France,F-33400"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Bordeaux,Cnrs, Bordeaux INP, LaBRI, UMR 5800,France,F-33400","institution_ids":["https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210160189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4342","last_page":"4347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8213672637939453},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6785104274749756},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6620694398880005},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5972785353660583},{"id":"https://openalex.org/keywords/network-congestion","display_name":"Network congestion","score":0.516802191734314},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.47512465715408325},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.4522961378097534},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4480309784412384},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.42851293087005615},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3354445993900299},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2897263765335083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2153315544128418},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1729346215724945},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.068230539560318}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8213672637939453},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6785104274749756},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6620694398880005},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5972785353660583},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.516802191734314},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.47512465715408325},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.4522961378097534},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4480309784412384},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.42851293087005615},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3354445993900299},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2897263765335083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2153315544128418},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1729346215724945},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.068230539560318},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc45855.2022.9838640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838640","pdf_url":null,"source":{"id":"https://openalex.org/S4363607711","display_name":"ICC 2022 - IEEE International Conference on Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1600401091","https://openalex.org/W1987179874","https://openalex.org/W2038940887","https://openalex.org/W2065544659","https://openalex.org/W2335946671","https://openalex.org/W2769871056","https://openalex.org/W2885924084","https://openalex.org/W2924437634","https://openalex.org/W2953384591","https://openalex.org/W3010768185","https://openalex.org/W3013884999","https://openalex.org/W3038417283","https://openalex.org/W3106751718","https://openalex.org/W3131919333","https://openalex.org/W4252805704","https://openalex.org/W6713134421","https://openalex.org/W6785350036"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W3017902212","https://openalex.org/W2964335273","https://openalex.org/W2982145560","https://openalex.org/W2969450769"],"abstract_inverted_index":{"Vehicle":[0],"density":[1],"and":[2,14,42,93,116,141],"channel":[3,75,103,113,139,143],"utilization":[4],"can":[5],"vary":[6],"significantly":[7],"over":[8],"short":[9],"time":[10,86],"intervals":[11],"in":[12,133,137],"complex":[13],"dynamic":[15],"environments":[16],"such":[17,22,34],"as":[18,35,95,107],"vehicular":[19],"networks.":[20],"In":[21],"situations,":[23],"the":[24,36,43,67,74,122,125],"European":[25],"ITS-G5":[26],"technology":[27],"proposed":[28,126],"Decentralized":[29],"Congestion":[30],"Control":[31,40],"(DCC)":[32],"techniques,":[33],"reactive":[37],"Transmit":[38],"Rate":[39],"(TRC)":[41],"adaptive":[44],"Dual":[45],"\u03b1":[46],"algorithms,":[47],"to":[48,72,97,100,121],"prevent":[49],"performance":[50],"degradation.":[51],"This":[52],"paper":[53],"proposes":[54],"a":[55,61,108],"proactive":[56,127],"DCC":[57,98,128],"technique":[58],"that":[59],"uses":[60],"Recurrent":[62],"Neural":[63],"Network":[64],"(RNN),":[65],"namely":[66],"Long":[68],"Short-Term":[69],"Memory":[70],"(LSTM),":[71],"optimize":[73],"performance.":[76],"We":[77],"specifically":[78],"use":[79],"smoothed":[80],"Channel":[81],"Busy":[82],"Ratio":[83],"(CBR)":[84],"forecasting":[85],"series":[87],"calculated":[88],"using":[89],"an":[90],"LSTM":[91],"agent":[92],"provided":[94],"inputs":[96],"algorithms":[99,129,132],"achieve":[101],"faster":[102,142],"load":[104,114,140],"convergence":[105],"and,":[106],"result,":[109],"improve":[110],"network":[111],"stability,":[112],"limitation,":[115],"resource":[117],"allocation":[118],"fairness.":[119],"According":[120],"simulation":[123],"results,":[124],"outperform":[130],"existing":[131],"terms":[134],"of":[135],"reduction":[136],"average":[138],"convergence.":[144]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}